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CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
This overview paper defines the task and the updated evaluation methodology, describes data preparation, report and analyze the main results, and provides a brief categorization of the different approaches of the participating systems.
A Stylometric Inquiry into Hyperpartisan and Fake News
- Martin Potthast, Johannes Kiesel, K. Reinartz, Janek Bevendorff, Benno Stein
- Computer ScienceACL
- 18 February 2017
It is revealed that left-wing and right-wing news share significantly more stylistic similarities than either does with the mainstream, and applications of the results include partisanship detection and pre-screening for semi-automatic fake news detection.
Overview of the 6th International Competition on Plagiarism Detection
Thispaper overviews 18 plagiarism detectors that have been developed and evaluated within PAN'10, highlighting several important aspects of plagiarism de- tection, such as obfuscation, intrinsic vs. external plagiarism, and plagiarism case length.
SemEval-2019 Task 4: Hyperpartisan News Detection
The goal of this SemEval task was to shed light on the state of the art of hyperpartisan news detection, and developed new resources, including a manually labeled dataset with 1,273 articles, and a second dataset with 754,000 articles, labeled via distant supervision.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The task and evaluation methodology is defined, how the data sets were prepared, report and analyze the main results, and a brief categorization of the different approaches of the participating systems are provided.
An Evaluation Framework for Plagiarism Detection
- Martin Potthast, Benno Stein, Alberto Barrón-Cedeño, Paolo Rosso
- Computer ScienceCOLING
- 23 August 2010
Empirical evidence is given that the construction of tailored training corpora for plagiarism detection can be automated, and hence be done on a large scale.
Overview of the 3rd Author Profiling Task at PAN 2015
- F. M. R. Pardo, Fabio Celli, Paolo Rosso, Martin Potthast, Benno Stein, Walter Daelemans
The framework and the results for the Author Profiling Shared Task organised at PAN 2015 are overviewed, which aims at identifying age, gender, and personality traits of Twitter users.
TIRA Integrated Research Architecture
- Martin Potthast, Tim Gollub, Matti Wiegmann, Benno Stein
- Computer ScienceInformation Retrieval Evaluation in a Changing…
This chapter introduces the TIRA Integrated Research Architecture, its design requirements, its workflows from both the participants’ and the organizers’ perspectives, alongside a report on user experience and usage scenarios.
Automatic Vandalism Detection in Wikipedia
The characteristics of vandalism as humans recognize it and develop features to render vandalism detection as a machine learning task are discussed and logistic regression is used to achieve 83% precision at 77% recall with the model.
Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter
This overview presents the framework and the results of the Author Profiling task at PAN 2017, which aims to address gender and language variety identification in Arabic, English, Portuguese, and Spanish.